John E. Mata
Impact in
- Equine top 2%
- Veterinary Equine Medical Research
- Biochemistry top 10%
- Antioxidant Activity and Oxidative Stress
Papers in
-
- Advanced biosensing and bioanalysis techniques 3
-
- Trace Elements in Health 3
- Co-authors
- Patrick L. Iversen (11 shared papers)Rosita Rodriguez‐Proteau (4 shared papers)Anna M. Firshman (1 shared paper)David E. Williams (2 shared papers)Carole Jubert (3 shared papers)William A. Pryor (1 shared paper)William Tracewell (4 shared papers)Vincent H. Gattone (1 shared paper)
- Journals
- Toxicology and Applied Pharmacology (2 papers)Cancer Prevention Research (1 paper)Pediatric Blood & Cancer (1 paper)Toxicology (1 paper)BMC Veterinary Research (1 paper)
- Partner nations
- United StatesJapanItaly
In The Last Decade
John E. Mata
25 papers receiving 581 citations
Peers
Comparison fields: 5 of 91
- Equine 50
- Biochemistry 62
- Cancer Research 77
- Molecular Biology 284
- Agronomy and Crop Science 40
Countries citing papers authored by John E. Mata
This map shows the geographic impact of John E. Mata's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by John E. Mata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John E. Mata more than expected).
Fields of papers citing papers by John E. Mata
This network shows the impact of papers produced by John E. Mata. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John E. Mata. The network helps show where John E. Mata may publish in the future.
Co-authors
The 25 scholars most cited alongside John E. Mata, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 89 | |
| 2 | 1997 | 66 | |
| 3 | 2009 | 56 | |
| 4 | 2004 | 52 | |
| 5 | 2003 | 50 | |
| 6 | 2002 | 45 | |
| 7 | 2009 | 29 | |
| 8 | 1995 | 25 | |
| 9 | 2004 | 25 | |
| 10 | 1999 | 22 | |
| 11 | 2006 | 22 | |
| 12 | 1997 | 20 | |
| 13 | 2013 | 19 | |
| 14 | 2013 | 15 | |
| 15 | 2000 | 13 | |
| 16 | 2018 | 9 | |
| 17 | 1992 | 8 | |
| 18 | 1999 | 8 | |
| 19 | 2013 | 8 | |
| 20 | 2007 | 6 |
About John E. Mata
John E. Mata is a scholar working on Molecular Biology, Nutrition and Dietetics, Pulmonary and Respiratory Medicine, Oncology and Physiology, having authored 25 papers that have together received 602 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (3 papers), Veterinary Oncology Research (3 papers), Telomeres, Telomerase, and Senescence (3 papers), Trace Elements in Health (3 papers), Hemoglobinopathies and Related Disorders (2 papers), Nerve injury and regeneration (2 papers), Cancer Research and Treatments (2 papers) and Mycotoxins in Agriculture and Food (2 papers). The work is most often cited by research in Equine (50 citations), Biochemistry (62 citations), Cancer Research (77 citations), Molecular Biology (284 citations) and Agronomy and Crop Science (40 citations). John E. Mata has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Patrick L. Iversen, Rosita Rodriguez‐Proteau, Anna M. Firshman, David E. Williams, Carole Jubert, William A. Pryor, William Tracewell, Vincent H. Gattone, Justin L. Ricker and Gayathri R. Devi. Their work appears in journals such as Toxicology and Applied Pharmacology, Cancer Prevention Research, Pediatric Blood & Cancer, Toxicology and BMC Veterinary Research.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.